Curricular Structure
Master’s in Computational Modeling
In order to guarantee a multidisciplinary training for the students of the course, the candidate for the title of Master in Computational Modeling must complete a minimum of 24 (twenty-four) approved credits. The credits for the master’s degree must be completed as follows: at least 9 (nine) credits in Mandatory Subjects; (Algorithms and Data Structure, Mathematical Methods and Introduction to Mathematical Modeling); at least 6 (six) credits in Intermediate Subjects, of which at least three credits in subjects associated with each of the Research Lines: Applied Numerical Methods (MNA) or Applied Computing Systems (SCA); at least 3 (three) credits in Application Courses. Interested students may request the use of up to 6 (six) credits previously obtained in stricto sensu master’s programs.
Compulsory subjects aim to provide students with the theoretical bases of computational modeling through knowledge of mathematical modeling, mathematical methods, algorithms and data structures.
In addition to these, in the first two quarters, the student must choose two Intermediate disciplines from a list of 10 (ten) disciplines, five from each line of research in the program. Thus, from the second trimester onwards, students choose subjects that will contribute to their training in their preferred line of research: Applied Numerical Methods (AMN) or Applied Computational Systems (ACS). However, to further increase the interdisciplinary content of their training, from the two intermediate disciplines, the student must choose at least one discipline from each line of research. Thus, the student attends disciplines that are both from the line of Applied Numerical Methods and Applied Computational Systems, providing him with a vision of the important complementary role of these two lines of research in the development of his final works.
Specific disciplines are subdivided into two categories, Advanced Methods and Applications. The student must take at least one subject from the list of Applications subjects. The discipline in the Advanced Methods category guarantees the student’s final specialization in a computational or numerical tool of their choice, while the discipline in the Application category offers the student an initial experience regarding the application of this powerful numerical and computational tool to problems of interest in engineering and applied sciences, as well as the development, implementation and use of new technologies.
In order to formalize compliance with CAPES ordinance 076 regarding the Teaching Internship, the master’s student (scholarship holder or non-scholarship holder) must attend the Teaching Internship I discipline. with the aim of preparing for teaching, and qualifying undergraduate teaching as mandatory for all students. In this discipline, the student must dedicate himself to a maximum of 4 (four) hours per week in the development of tutoring projects, with a maximum of 2 (two) hours in the classroom. If the student is or has worked as a higher education teacher, and proves such activities, he will be exempt from the teaching internship.
At the end of the second quarter, the master’s student must choose his/her main supervisor and, when applicable, co-supervisor(s). In the third trimester, you must submit a proposal for a master’s thesis to the program’s collegiate.
PhD in Computational Modeling
To obtain the title of doctor, the student must attend at least 36 credits. Of this total, 9 credits must be obtained with the mandatory subjects: “Algorithm and Data Structure”; “Mathematical Methods”; and “Introduction to Mathematical Modeling”. Of the remaining 27 credits, the student must take at least 12 new credits in subjects at the doctoral level and the other 15 credits can be used in the master’s course, regardless of the area of the program of origin.
Thus, it is expected to further increase the interdisciplinary spectrum of the course, as masters trained in disciplinary courses in any area (such as Physics, Mathematics, Engineering, Computing, Biology, etc.)
Requests to use master’s credits are analyzed by the program’s collegiate. In the proposed format, at one extreme, students from other areas (eg Biology) can complete their credits in three quarters. This is enough time to take the three compulsory courses, eventually one or more intermediate courses (suggested by the advisors) and finally the four specific doctoral courses. At the other extreme, students who have completed a Master’s in Computational Modeling in this program can complete the minimum number of required credits in two trimesters, necessary to take four further courses at the doctoral level.
In order to conclude the doctoral course, the student must attend the Teaching Internship I and II disciplines. In these disciplines, the student can commit a maximum of 4 (four) hours per week to the development of tutoring projects, with a maximum of 2 (two) hours in the classroom.
After taking the credits, the student must defend his thesis proposal in a Qualifying Examination, within the limit of two years after his entry into the doctorate. This defense takes place before a board composed of three examiners, doctors, and must have among its members an internal examiner of the program (president) and an examiner external to the UFJF. The supervisor and co-supervisors are not part of the qualifying panel. One of the requirements for the qualifying exam is to have a complete article published, or accepted (without pending) for publication, in an event or journal, national or international, indexed in one of the following databases: Qualis (CAPES), JCR (ISI), or SJR (Scopus). In this way, it is expected that the student who already has some preliminary result to be presented.
The new regiment of the program also established that the doctoral student must present a Doctoral Follow-up Seminar, which aims to evaluate the student’s development in the theme of the doctoral thesis chosen as his object of study. To present this seminar, the student must meet the following prerequisites: have been approved in the qualifying exam; have a complete article submitted for publication in a national or international journal, indexed in one of the following databases: Qualis (CAPES), JCR (ISI), or SJR (Scopus). This submission must be distinct from that submitted for the Qualifying Exam prerequisites.
To obtain a doctor’s degree, after completing all the necessary credits and passing all the exams, the doctoral student must prepare, defend and have his doctoral thesis approved, with an original scientific contribution and directed to a line of research. from the program.